Search Results for author: Liang Yao

Found 29 papers, 15 papers with code

Challenges of Neural Machine Translation for Short Texts

no code implementations CL (ACL) 2022 Yu Wan, Baosong Yang, Derek Fai Wong, Lidia Sam Chao, Liang Yao, Haibo Zhang, Boxing Chen

After empirically investigating the rationale behind this, we summarize two challenges in NMT for STs associated with translation error types above, respectively: (1) the imbalanced length distribution in training set intensifies model inference calibration over STs, leading to more over-translation cases on STs; and (2) the lack of contextual information forces NMT to have higher data uncertainty on short sentences, and thus NMT model is troubled by considerable mistranslation errors.

Machine Translation NMT +2

Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection

no code implementations24 May 2024 Fan Liu, Liang Yao, Chuanyi Zhang, Ting Wu, Xinlei Zhang, Xiruo Jiang, Jun Zhou

Specifically, a Scale-Invariant Feature Disentangling module is designed to disentangle scale-related and scale-invariant features.

Disentanglement object-detection +1

Large Language Models are Contrastive Reasoners

1 code implementation13 Mar 2024 Liang Yao

Prompting methods play a crucial role in enhancing the capabilities of pre-trained large language models (LLMs).


Exploring Large Language Models for Knowledge Graph Completion

1 code implementation26 Aug 2023 Liang Yao, Jiazhen Peng, Chengsheng Mao, Yuan Luo

Knowledge graphs play a vital role in numerous artificial intelligence tasks, yet they frequently face the issue of incompleteness.

Relation Triple Classification

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

1 code implementation7 May 2022 Chengsheng Mao, Liang Yao, Yuan Luo

However, few have explored BERT on disease-specific medical domain tasks such as AKI early prediction.

Language Modelling

CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation

no code implementations13 Jan 2022 Yifeng Chen, Wenqing Chu, Fangfang Wang, Ying Tai, Ran Yi, Zhenye Gan, Liang Yao, Chengjie Wang, Xi Li

Recently, there is growing attention on one-stage panoptic segmentation methods which aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently.

Instance Segmentation Panoptic Segmentation +1

Exploiting Neural Query Translation into Cross Lingual Information Retrieval

no code implementations26 Oct 2020 Liang Yao, Baosong Yang, Haibo Zhang, Weihua Luo, Boxing Chen

As a crucial role in cross-language information retrieval (CLIR), query translation has three main challenges: 1) the adequacy of translation; 2) the lack of in-domain parallel training data; and 3) the requisite of low latency.

Cross-Lingual Information Retrieval Data Augmentation +5

Towards Expressive Graph Representation

1 code implementation12 Oct 2020 Chengsheng Mao, Liang Yao, Yuan Luo

Graph Neural Network (GNN) aggregates the neighborhood of each node into the node embedding and shows its powerful capability for graph representation learning.

Graph Classification Graph Neural Network +1

KG-BERT: BERT for Knowledge Graph Completion

3 code implementations7 Sep 2019 Liang Yao, Chengsheng Mao, Yuan Luo

Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness.

Language Modelling Link Prediction +2

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

no code implementations2 Apr 2019 Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhen-Xing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion, Jyotishman Pathak

While the NLP system showed high precision and recall measurements for four target concepts (aortic valve regurgitation, left atrium size at end systole, mitral valve regurgitation, tricuspid valve regurgitation) across all sites, we found moderate or poor results for the remaining concepts and the NLP system performance varied between individual sites.

ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays

1 code implementation31 Mar 2019 Chengsheng Mao, Liang Yao, Yuan Luo

However, most of the existing approaches for image representation ignore the relations between images and consider each input image independently.

object-detection Object Detection

MedGCN: Medication recommendation and lab test imputation via graph convolutional networks

1 code implementation31 Mar 2019 Chengsheng Mao, Liang Yao, Yuan Luo

In this study, we construct a graph to associate 4 types of medical entities, i. e., patients, encounters, lab tests, and medications, and applied a graph neural network to learn node embeddings for medication recommendation and lab test imputation.

Graph Neural Network Imputation

Distribution Networks for Open Set Learning

no code implementations20 Sep 2018 Chengsheng Mao, Liang Yao, Yuan Luo

In this paper, we recognize that novel classes should be different from each other, and propose distribution networks for open set learning that can model different novel classes based on probability distributions.

General Classification Open Set Learning

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

1 code implementation20 Sep 2018 Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo

However, most of the previous deep neural network classifiers were based on deterministic architectures which are usually very noise-sensitive and are likely to aggravate the overfitting issue.

General Classification Image Classification

Graph Convolutional Networks for Text Classification

9 code implementations15 Sep 2018 Liang Yao, Chengsheng Mao, Yuan Luo

We build a single text graph for a corpus based on word co-occurrence and document word relations, then learn a Text Graph Convolutional Network (Text GCN) for the corpus.

General Classification Sentiment Analysis +1

Developing a Portable Natural Language Processing Based Phenotyping System

1 code implementation17 Jul 2018 Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo

Our system facilitates portable phenotyping of obesity and its 15 comorbidities based on the unstructured patient discharge summaries, while achieving a performance that often ranked among the top 10 of the challenge participants.

BIG-bench Machine Learning

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